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Macroeconomic fundamentals and latent factor of the EU yield curve

Author

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  • Marius Acatrinei

    (Financial Supervisory Authority (Romania))

Abstract

Since the portfolio of the insurers consists largely of bonds, out of which a significant weight consists of Government bonds, insurers are mainly exposed to interest rate risk and sovereign risk. We are motivated to contribute to the debate around the effect of the low yield environment and the effect on the insurers’ portfolio due to their high exposure to government bonds. In this respect, any rise in macroeconomic risk across Europe could lead to a joint hit to insurers. The paper provides a broader look of the impact of the macroeconomic variables on the underlying factors that describe the yield curve and their overall effects to the insurers’ portfolio. We show that the macroeconomic shocks have a different impact on bonds depending on their maturity. The life insurers are more affected by the low interest rate because the duration of long-term liabilities rises more than the one of the short-term assets. Therefore, the sensitivity of the long-term bonds to interest rate change is important for life insurers. We have estimated a structural VECM model to explore the interaction between the macroeconomic variables and the estimated factors of the yield curve. We conclude that 1) any change in the actual inflation can lead to small increases in the level factor, leaving almost unchanged the bond prices 2) the slope factor decreases faster after the monetary policy shocks affecting mostly the short-term bonds 3) a positive shock in monetary policy rate leads to a strong increase of the level factor.

Suggested Citation

  • Marius Acatrinei, 2017. "Macroeconomic fundamentals and latent factor of the EU yield curve," EIOPA Financial Stability Report - Thematic Articles 11, EIOPA, Risks and Financial Stability Department.
  • Handle: RePEc:eio:thafsr:11
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    File URL: https://www.eiopa.europa.eu/sites/default/files/financial_stability/financial_stability_report_december2017_7_macroeconomic_fundamentals_and_latent_factor_of_the_eu_yield_curve.pdf
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    References listed on IDEAS

    as
    1. Ang, Andrew & Piazzesi, Monika, 2003. "A no-arbitrage vector autoregression of term structure dynamics with macroeconomic and latent variables," Journal of Monetary Economics, Elsevier, vol. 50(4), pages 745-787, May.
    2. Afonso, António & Martins, Manuel M.F., 2012. "Level, slope, curvature of the sovereign yield curve, and fiscal behaviour," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1789-1807.
    3. Gregory R. Duffee, 2002. "Term Premia and Interest Rate Forecasts in Affine Models," Journal of Finance, American Finance Association, vol. 57(1), pages 405-443, February.
    4. Wolfgang Karl Härdle,Piotr Majer & Melanie Schienle, 2012. "Yield Curve Modeling and Forecasting using Semiparametric Factor Dynamics," SFB 649 Discussion Papers SFB649DP2012-048, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    5. Nelson, Charles R & Siegel, Andrew F, 1987. "Parsimonious Modeling of Yield Curves," The Journal of Business, University of Chicago Press, vol. 60(4), pages 473-489, October.
    6. Canova, Fabio & Nicolo, Gianni De, 2002. "Monetary disturbances matter for business fluctuations in the G-7," Journal of Monetary Economics, Elsevier, vol. 49(6), pages 1131-1159, September.
    7. Diebold, Francis X. & Rudebusch, Glenn D. & Borag[caron]an Aruoba, S., 2006. "The macroeconomy and the yield curve: a dynamic latent factor approach," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 309-338.
    8. Hautsch, Nikolaus & Ou, Yangguoyi, 2012. "Analyzing interest rate risk: Stochastic volatility in the term structure of government bond yields," Journal of Banking & Finance, Elsevier, vol. 36(11), pages 2988-3007.
    9. Bianchi, Francesco & Mumtaz, Haroon & Surico, Paolo, 2009. "The great moderation of the term structure of UK interest rates," Journal of Monetary Economics, Elsevier, vol. 56(6), pages 856-871, September.
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    More about this item

    Keywords

    insurance; yield curve; Dynamic Factor Model; structural VECM;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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